In this huge number of possible models, there is bound to
be one arbitrarily complex that fits the observation
perfectly, but has little to no predictive power [1]}.
Would we in some way limit the complexity of the model
we fit, for example by discarding nearly all possible
variables, we would attain better generalisation.

